{"id":"W1569578749","doi":"10.1080/09332480.2015.1042736","title":"O Privacy, Where Art Thou?: Genomics and Privacy","year":2015,"lang":"en","type":"article","venue":"CHANCE","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Thou; Internet privacy; Genomics; Computer science; Information privacy; Biology; Genetics; Philosophy; Genome; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001505174,0.00008924898,0.0002053984,0.00003231781,0.00003789398,0.00002400399,0.0001907487,0.0001994329,0.00005424447],"category_scores_gemma":[0.007467261,0.00007591157,0.0000315495,0.0001010862,0.000212274,0.00005643246,0.000317063,0.0008606979,0.000383966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008571874,"about_ca_system_score_gemma":0.0003895516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007039885,"about_ca_topic_score_gemma":0.00002355876,"domain_scores_codex":[0.9987746,0.00003238659,0.0001990517,0.0002920283,0.0004508298,0.0002511391],"domain_scores_gemma":[0.997956,0.0008122899,0.00004657522,0.0005493446,0.0002715585,0.0003642546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002872692,0.001607048,0.3418037,0.004902253,0.0004168608,0.0008925471,0.02471609,0.00001220363,0.05628213,0.1031353,0.3592303,0.1041288],"study_design_scores_gemma":[0.003180175,0.0008071444,0.02666565,0.0006180514,0.00003480308,0.00007795428,0.0003310487,0.0005811483,0.006948851,0.08822631,0.8722302,0.0002985991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9323116,0.004206781,0.0008382014,0.03060457,0.0003189227,0.0004691157,0.000004955501,0.00008407018,0.03116179],"genre_scores_gemma":[0.9353188,0.005239449,0.00977068,0.001974742,0.0007619132,0.00002510335,0.000006957767,0.00004293752,0.04685947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5129999,"threshold_uncertainty_score":0.8939548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5293061892583356,"score_gpt":0.546395687183002,"score_spread":0.01708949792466641,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}